Jul 2026· Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi· 0 citations· 61 references
TL;DR
The findings underscore that effective AI integration requires clear institutional policies, ethical frameworks, and equitable access, while future research should empirically investigate AI’s impact on learning, cognitive development, and educational equity.
Abstract
The integration of artificial intelligence (AI) into higher education (HE) has significantly transformed teaching and learning, offering both opportunities and critical challenges. This systematic literature review (SLR) analyzes 95 peer-reviewed studies published between 2020 and May 2025, retrieved from Web of Science, Scopus, and EBSCO Education Source, focusing on the risks, challenges, and ethical concerns of AI adoption in HE. Four primary themes emerged: 1) Academic Integrity and Misuse of AI Tools, highlighting risks of unethical reliance on AI and threats to cognitive engagement; 2) Data Privacy, Security, and Ethical Concerns, emphasizing the management of personal data, algorithmic bias, and institutional responsibilities; 3) Over-reliance on AI and Its Impact on Learning Outcomes, addressing the potential erosion of critical thinking, problem-solving, and intrinsic motivation; and 4) Equity and Access to AI Tools, focusing on digital divides and the need for inclusive AI literacy. The findings underscore that effective AI integration requires clear institutional policies, ethical frameworks, and equitable access, while future research should empirically investigate AI’s impact on learning, cognitive development, and educational equity.
Artificial Intelligence should be positioned as a complementary educational resource rather than a replacement for human expertise to ensure inclusive and meaningful educational transformation.
Therese Kabala - Mwagalwa· Journal of Literacy Educatio...· 0 citations
Artificial Intelligence should be positioned as a complementary educational resource rather than a replacement for human expertise to ensure inclusive and meaningful educational transformation.
The shadow of artificial intelligence spreads across various aspects of human lives including education. On the one hand, artificial intelligence provides a help facility. On the other, it raises doubts about the quality as well as the ethicality of students’ learning outcomes. However, The Kurdistan Regional Government and the Ministry of Higher Education are taking every step to integrate technological and pedagogical innovations in education to promote empowerment and entrepreneurship. One of these innovative approaches is the use of Artificial Intelligence in Education (AIED). Although students have already started using various AI-based platforms, teachers and educators require a state-of-the-art review of AI in different educational contexts to gain a comprehensive understanding of its promises and risks. In literature, there are different studies investigating promises and risks of AIED separately, nevertheless it is necessary to have a panorama of both sides of AIED. In addition, this study attempts to provide suggestions and recommendations based on its critical investigation of literature. Therefore, the objective of this paper is to conduct a systematic review of the literature on the use of artificial intelligence in education, viz., the promises and risks of AI. Finally, this paper provides insights for teachers as well as educators to take the lead in implementing AI while ensuring safeguards are in place to prevent ethical concerns in the teaching and learning process.
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N. Abdullah, Awan Kamal al-Zangana· Zanco Journal of Humanity Sc...· 0 citations
The study concludes that AI should function as a supportive technology that complements human judgement rather than replacing academic responsibility, providing implications for universities, educators, researchers, students, and policymakers.
Noor Hanim Rahmat· International journal of res...· 0 citations
Artificial Intelligence should be viewed as an assistive technology that complements rather than replaces human expertise in teacher education research, and the implications for research quality, reliability, equity, and public trust in educational research are highlighted.
Dr Yudhvir Singh and Dr Geetu Gupta· International Journal of Adv...· 0 citations
While AI offers promising benefits for educational leaders, its adoption remains limited due to a range of challenges, including a lack of AI literacy, inadequate professional development, data privacy and fairness concerns, misinformation, the lack of capacity for emotional judgment, as well as access disparities.
M. Bellibaş, Figen Karaferye· Improving Schools· 0 citations
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